activity
20122024
most citedAn Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications

2.1k citations · 15.7k across the 131 of their papers we have counts for

collaborators
Showing 2020Show all

12 papers · 1 filter

cond-mat.mtrl-sci2020★ 625 cited

Exceptional piezoelectricity, high thermal conductivity and stiffness and promising photocatalysis in two-dimensional MoSi2N4 family confirmed by first-principles

Bohayra Mortazavi, Brahmanandam Javvaji, Fazel Shojaei +3

Chemical vapor deposition has been most recently employed to fabricate centimeter-scale high-quality single-layer MoSi2N4 (Science; 2020;369; 670). Motivated by this exciting exper…

cs.MS2020★ 9 cited

A 55-line code for large-scale parallel topology optimization in 2D and 3D

Abhinav Gupta, Rajib Chowdhury, Anupam Chakrabarti +1

This paper presents a 55-line code written in python for 2D and 3D topology optimization (TO) based on the open-source finite element computing software (FEniCS), equipped with var…

physics.app-ph2020★ 3 cited

Laser Exfoliation of Graphene from Graphite

Brahmanandam Javvaji, Ramakrishna Vasireddi, Xiaoying Zhuang +2

Synthesis of graphene with reduced use of chemical reagents is essential for manufacturing scale-up and to control its structure and properties. In this paper, we report on a novel…

cs.LG2020★ 428 cited

Deep Autoencoder based Energy Method for the Bending, Vibration, and Buckling Analysis of Kirchhoff Plates

Xiaoying Zhuang, Hongwei Guo, Naif Alajlan +1

In this paper, we present a deep autoencoder based energy method (DAEM) for the bending, vibration and buckling analysis of Kirchhoff plates. The DAEM exploits the higher order con…

math.NA2020★ 3 cited

Integrated intelligent Jaya Runge-Kutta method for solving Falkner-Skan equations for Various Wedge Angles

Hongwei Guo, Xiaoying Zhuang, Xiaoyu Meng +1

In this work, the hybrid intelligent computing method, which combines efficient Jaya algorithm with classical Runge-Kutta method is applied to solve the Falkner-Skan equations with…

cs.LG2020★ 102 cited

Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning

Hongwei Guo, Xiaoying Zhuang, Timon Rabczuk

In this work, a modified neural architecture search method (NAS) based physics-informed deep learning model is presented for stochastic analysis in heterogeneous porous material. M…